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Sensors and Materials
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Sensors and Materials,
Volume 30, Number 8(1) (2018)

Copyright(C) MYU K.K. All Rights Reserved.
pp. 1735-1742
S&M1630
https://doi.org/10.18494/SAM.2018.1865
Published: August 15, 2018

Regional Density-aware Data Collection Using Unmanned Aerial Vehicle in Large-scale Wireless Sensor Networks [PDF]

Eui-Jik Kim, Hyo Hyun Choi, and Jung-Hyok Kwon

(Received March 30, 2017; Accepted January 23, 2018)

Keywords: data collection, mobile sink, regional density, unmanned aerial vehicle, wireless sensor network

This paper presents a regional density-aware data collection (RDDC) using unmanned aerial vehicles (UAVs) in large-scale wireless sensor networks (WSNs). The RDDC is designed to support fast data collection by adaptively adjusting the value of the minimum contention window (CWmin) of the sensor nodes depending on the regional node density of sensing fields. The operation of RDDC consists of the region-partitioning, node-scanning, and data-collecting phases. In the region-partitioning phase, the RDDC partitions the sensing field into multiple regions and assigns a region ID to each sensor node according to the region to which it belongs. In the node-scanning phase, the RDDC calculates the node density of each region. Finally, in the data-collecting phase, the RDDC assigns different CWmin values to each sensor node considering the regional node density of each region. The experimental simulation results show that the RDDC obtains higher aggregate throughput and shorter delay than the existing data collection method.

Corresponding author: Hyo Hyun Choi, Jung-Hyok Kwon


Cite this article
Eui-Jik Kim, Hyo Hyun Choi, and Jung-Hyok Kwon, Regional Density-aware Data Collection Using Unmanned Aerial Vehicle in Large-scale Wireless Sensor Networks, Sens. Mater., Vol. 30, No. 8, 2018, p. 1735-1742.


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